Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines

Journal of Applied Remote Sensing

Volumn 1, Issue 1, 2007, Pages

  Van Der Linden, Sebastian ^a,b   Janz, Andreas ^a   Waske, Björn ^b   Eiden, Michael ^c   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b UNIVERSITY OF BONN   (Germany)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Hyperspectral; Image segmentation; Support vector machines; Urban

Indexed keywords

IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES; URBAN PLANNING;

ACCURACY ASSESSMENT; CLASSIFICATION FRAMEWORK; HYPERSPECTRAL; REMOTELY SENSED IMAGES; SEGMENT-BASED CLASSIFICATION; SPECTRAL INFORMATION; URBAN; URBAN STRUCTURE TYPES;

CLASSIFICATION (OF INFORMATION);

EID: 45849104692     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.2813466     Document Type: Article

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